LiteLLMFreemium
An open-source LLM gateway that gives you one consistent API and proxy across 100+ model providers, with key management and spend tracking.
AI Infrastructure comparison
LiteLLM vs Unstructured
Pricing, pros, cons, and ideal use cases — side by side.
UnstructuredFreemium
A platform for turning messy enterprise documents — PDFs, slides, emails, scans — into clean, structured data ready for RAG and LLMs.
At a glance
| LiteLLM | Unstructured | |
|---|---|---|
| Pricing | FreemiumOpen-source and free to self-host. A paid enterprise edition adds SSO, audit logs, and support. | FreemiumOpen-source libraries are free. The managed API and platform are sold on usage-based paid plans. |
| Category | AI Infrastructure | AI Infrastructure |
| Ideal for | Teams using multiple model providersPlatform teams centralizing LLM access and spendEnterprises wanting provider portability | Enterprises building RAG over real document setsTeams handling PDFs, scans, and complex file typesData engineers preparing content for LLMs |
Pros & cons
LiteLLM
Pros
- One consistent API across 100+ providers
- Proxy adds key management, budgets, and spend logging
- Avoids provider lock-in
- Lightweight to adopt
Cons
- Self-hosting the proxy is your operational burden
- A gateway is one more hop to monitor
- Advanced governance features are in the paid edition
Unstructured
Pros
- Purpose-built for messy real-world documents
- Handles PDFs, tables, scans, and many formats
- Connectors for common enterprise data sources
- Open-source or managed API
Cons
- Complex document extraction is never perfect
- Managed API costs scale with document volume
- One stage of the pipeline — not end-to-end RAG
Which should you choose?
LiteLLM is built around teams using multiple model providers; Unstructured leans more toward enterprises building rag over real document sets. Shortlist the one whose strengths line up with your biggest constraint.